CNR Institutional Research Information System

GUARASCIO, MASSIMO
 Distribuzione geografica
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Continente #
AS - Asia 2.613
NA - Nord America 2.115
EU - Europa 1.012
SA - Sud America 439
Continente sconosciuto - Info sul continente non disponibili 294
AF - Africa 75
OC - Oceania 10
Totale 6.558
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Nazione #
US - Stati Uniti d'America 1.962
SG - Singapore 996
CN - Cina 642
IT - Italia 419
BR - Brasile 337
VN - Vietnam 276
HK - Hong Kong 222
FR - Francia 127
KR - Corea 106
DE - Germania 97
NL - Olanda 91
CA - Canada 77
JP - Giappone 75
BD - Bangladesh 62
IN - India 58
GB - Regno Unito 55
AT - Austria 31
AR - Argentina 30
MX - Messico 28
FI - Finlandia 26
ID - Indonesia 26
ZA - Sudafrica 25
PL - Polonia 22
ES - Italia 20
CO - Colombia 19
IL - Israele 17
RU - Federazione Russa 17
UA - Ucraina 15
EC - Ecuador 13
IQ - Iraq 13
TR - Turchia 13
AZ - Azerbaigian 12
BE - Belgio 12
CH - Svizzera 12
PK - Pakistan 12
SA - Arabia Saudita 12
CL - Cile 11
JM - Giamaica 11
CR - Costa Rica 10
PH - Filippine 10
AU - Australia 9
DZ - Algeria 9
EG - Egitto 9
MA - Marocco 9
AE - Emirati Arabi Uniti 8
NI - Nicaragua 8
PE - Perù 8
PT - Portogallo 8
SE - Svezia 8
TH - Thailandia 8
UZ - Uzbekistan 8
VE - Venezuela 8
GR - Grecia 7
LT - Lituania 7
HN - Honduras 6
IE - Irlanda 6
KE - Kenya 6
KG - Kirghizistan 6
MY - Malesia 6
PY - Paraguay 6
AL - Albania 4
BY - Bielorussia 4
GE - Georgia 4
NO - Norvegia 4
UY - Uruguay 4
BO - Bolivia 3
DK - Danimarca 3
EE - Estonia 3
ET - Etiopia 3
GT - Guatemala 3
LV - Lettonia 3
MD - Moldavia 3
SN - Senegal 3
TN - Tunisia 3
BF - Burkina Faso 2
BG - Bulgaria 2
CY - Cipro 2
IR - Iran 2
JO - Giordania 2
KH - Cambogia 2
KZ - Kazakistan 2
NP - Nepal 2
SV - El Salvador 2
TT - Trinidad e Tobago 2
TW - Taiwan 2
AF - Afghanistan, Repubblica islamica di 1
AM - Armenia 1
AO - Angola 1
BB - Barbados 1
BH - Bahrain 1
BN - Brunei Darussalam 1
BW - Botswana 1
CZ - Repubblica Ceca 1
DJ - Gibuti 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GA - Gabon 1
HT - Haiti 1
KW - Kuwait 1
LK - Sri Lanka 1
Totale 6.253
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Città #
Singapore 611
Santa Clara 415
Dallas 294
Hefei 220
Hong Kong 218
Ashburn 181
San Jose 176
Beijing 148
Los Angeles 146
Seoul 103
Lauterbourg 99
Ho Chi Minh City 87
Hanoi 76
Rende 73
Tokyo 57
New York 52
Orem 35
Nuremberg 31
São Paulo 30
Frankfurt am Main 29
Rome 25
Cosenza 24
Buffalo 23
Milan 21
Amsterdam 18
Boardman 17
Brooklyn 17
Council Bluffs 17
Denver 17
Montreal 17
Warsaw 17
Helsinki 16
Phoenix 15
Toronto 14
Atlanta 13
Genoa 13
Johannesburg 13
Minamishinagawa 13
Vienna 13
Bologna 12
Boston 12
Baku 11
Bengaluru 11
Da Nang 11
Manchester 11
Bari 10
Brussels 10
Chicago 10
Düsseldorf 10
London 10
Naples 10
Chennai 9
Curitiba 9
Guangzhou 9
Mexico City 9
Mumbai 9
Cairo 8
Catania 8
Dhaka 8
Haiphong 8
Munich 8
New Delhi 8
Porto Alegre 8
Quito 8
Rio de Janeiro 8
San Francisco 8
San José 8
Tashkent 8
Houston 7
Kyiv 7
Lappeenranta 7
Managua 7
Medellín 7
Ottawa 7
Stockholm 7
Taranto 7
Belo Horizonte 6
Bishkek 6
Biên Hòa 6
Dublin 6
Florence 6
Hải Dương 6
Portsmouth 6
Thái Bình 6
Turin 6
Baghdad 5
Bogotá 5
Buenos Aires 5
Bắc Giang 5
Can Tho 5
Cape Town 5
Cincinnati 5
Fortaleza 5
Geneva 5
Guarulhos 5
Istanbul 5
Kingston 5
Marano Marchesato 5
Nairobi 5
Oklahoma City 5
Totale 3.858
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Nome #
From Edge to Cloud: Securing Distributed Containerized Applications 240
Detecting DDoS Attacks in Microservice Architectures via AI-Based Agents 160
Fighting Misinformation, Radicalization and Bias in Social Media 132
Revealing MageCart-like Threats in Favicons via Artificial Intelligence 104
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 101
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts 96
Sanitization of Images Containing Stegomalware via Machine Learning Approaches 96
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores 96
Deep Sequential Modeling for Recommendation 90
Towards Self-Supervised Cross-Domain Fake News Detection 86
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders 86
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems 85
Combining deep ensemble learning and explanation for intelligent ticket management 85
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities 82
ORISHA: Improving Threat Detection through Orchestrated Information Sharing 81
Discovering ensembles of small language models out of scarcely labelled data for fake news detection 81
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity 81
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 79
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 78
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 75
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 75
Data- & compute-efficient deviance mining via active learning and fast ensembles 73
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 73
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection 70
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 70
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures 70
Integrating a framework for discovering alternative app stores in a mobile app monitoring platform 68
A deep learning approach for detecting security attacks on blockchain 68
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning 65
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls 64
Emerging Challenges and Perspectives in Deep Learning Model Security: A Brief Survey 63
Strumenti Intelligenti per Threat Detection e Response 63
Improving MQTT Security Through the Generation of Malicious Test Cases 63
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction 60
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources 60
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 60
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning 60
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review 59
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation 59
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems 58
Learning ensembles of deep neural networks for extreme rainfall event detection 58
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection 58
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels 56
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons 56
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain 55
Breaking domain barriers: mixture of experts for cross-domain fake news detection 55
An Explainable Deep Ensemble Framework for Intelligent Ticket Management 55
A Deep Anomaly Detection System for IoT-Based Smart Buildings 54
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 53
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning 53
Discovering accurate deep learning based predictive models for automatic customer support ticket classification 53
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 53
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora 53
Deviance-Aware Discovery of High-Quality Process Models 52
Bias e Fairness in Information Sharing e Filtering 51
On learning effective ensembles of deep neural networks for intrusion detection 51
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 50
Mitigation of Covert Communications in MQTT Topics Through Small Language Models 50
From One to Many: Few-Shot Deep Ensembles for Slow DoS Attack Detection 50
Towards Extreme Multi-Label classification of Multimedia Content 50
Rule Learning with Probabilistic Smoothing 49
High Quality True-Positive Prediction for Fiscal Fraud Detection 49
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels 48
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 48
A Block Mixture Model for Pattern Discovery in Preference Data 47
A deep learning-based approach for stegomalware sanitization in digital images 47
Network Topology 46
Knowledge Discovery in Databases 46
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 46
High Quality True-Positive Prediction for Fiscal Fraud Detection 46
Using Deep Learning and Data Integration for Accurate Rainfall Estimates 46
Human Behavior Discovery via Multidimensional Latent Factor Modeling 45
Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content 45
Context-aware predictions on business processes: An ensemble-based solution 44
Deobfuscation of JavaScript Code and Identification of Security Weaknesses Through Large Language Models 44
A data-adaptive trace abstraction approach to the prediction of business process performances 43
Profiling Human Behavior through Multidimensional Latent Factor Modeling 43
A Sustainable AI-based Solution for Workplace Injury Classification in Industry 5.0 42
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 41
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 41
Intelligenza Artificiale e Machine Learning nei Sistemi Industriali di Manutenzione 41
Large language models in the software supply chain: challenges and opportunities 40
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 40
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 39
A framework for the discovery of predictive fix-time models 38
A Cloud-based Prediction Framework for Analyzing Business Process Performances 38
Deep Learning 38
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources 38
Clustering for Learning from Safety-Related Undesired Events: Application to the Iron and Steel Industry 36
Discovering Domain-Agnostic Fake News Detectors Through Deep Self-Supervised Learning 36
You Can Spread But You Cannot Hide: Discovering Accurate Multi-modal Deep Fusion Models for Fake News Detection 36
Discovering of Alternative Marketplaces on the Web for Mobile App Security Monitoring 35
Deviance-aware Discovery of High Quality Process Models 35
Mining models of exceptional objects through rule learning 35
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains 34
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 33
Discovering Context-Aware Models for Predicting Business Process Performances 32
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 32
Machine Learning per Behavior Analytics e Recommender Systems 32
An empirical comparison of collaborative filtering approaches on netflix data 32
Totale 6.007
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Categoria #
all - tutte 20.632
article - articoli 5.506
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.973
Totale 28.111
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2023/202476 0 0 0 0 0 0 0 0 17 14 32 13
2024/20252.243 21 10 187 65 406 111 146 130 149 137 467 414
2025/20263.940 243 349 474 519 627 279 566 158 233 284 94 114
2026/2027299 278 21 0 0 0 0 0 0 0 0 0 0
Totale 6.558